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Results 61 - 70 of 74 for conv_2d (0.15 sec)
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tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/insert_calibration_statistics_saver.mlir
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 01:09:50 UTC 2024 - 24.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/tests/legalize_hlo.mlir
// CHECK: %[[VAL_9:.*]] = "tf.Transpose"(%[[VAL_7]], %[[VAL_8]]) : (tensor<1x256x256x1xbf16>, tensor<4xi64>) -> tensor<1x1x256x256xbf16>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 29 07:26:59 UTC 2024 - 340.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/python/integration_test/quantize_model_test.py
), ) quantization.quantize_saved_model( self._input_saved_model_path, self._output_saved_model_path, config, ) expected_outputs = model.conv2d(input_data) root = load.load(self._output_saved_model_path) self.assertCountEqual(root.signatures.keys(), {'serving_default'}) new_outputs = root.signatures['serving_default'](
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 14 06:31:57 UTC 2024 - 51.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/passes/lift_quantizable_spots_as_functions_drq.cc
if ((quantization_method_ == tensorflow::quantization::QuantizationMethod:: METHOD_DYNAMIC_RANGE_INT8) && (function_name.contains("batch_matmul") || function_name.contains("conv3d"))) { call_op->removeAttr(kQuantTraitAttrName); } // TODO(b/270906404): Support weight-only gather for uniform quantized opset // in PTQ mode if (target_opset_ == OpSet::UNIFORM_QUANTIZED &&
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 8.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/tests/legalize-tf.mlir
// CHECK-SAME: [[ARG:%.+]]: tensor<2x12x21x7xf16> // CHECK: [[CONV32:%.+]] = mhlo.convert %arg0 : (tensor<2x12x21x7xf16>) -> tensor<2x12x21x7xf32> // CHECK: [[ZERO:%.+]] = mhlo.constant dense<0.000000e+00> : tensor<f32> // CHECK: [[DIVIDEND:%.+]] = "mhlo.reduce_window"([[CONV32]], [[ZERO]]) // CHECK-SAME: window_dimensions = dense<[1, 2, 2, 1]>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon May 06 18:46:23 UTC 2024 - 335.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/lift_quantizable_spots_as_functions.mlir
// RUN: stablehlo-quant-opt %s -split-input-file -stablehlo-lift-quantizable-spots-as-functions | FileCheck %s // CHECK-LABEL: @conv_fn( // CHECK-SAME: %[[ARG_0:.*]]: tensor<1x3x3x4xf32> func.func @conv_fn(%arg0: tensor<1x3x3x4xf32>) -> tensor<1x3x3x4xf32> { %0 = stablehlo.constant dense<2.000000e+00> : tensor<3x3x4x4xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 10 04:07:09 UTC 2024 - 49.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/schema/schema_generated.h
}; return values; } inline const char * const *EnumNamesBuiltinOperator() { static const char * const names[208] = { "ADD", "AVERAGE_POOL_2D", "CONCATENATION", "CONV_2D", "DEPTHWISE_CONV_2D", "DEPTH_TO_SPACE", "DEQUANTIZE", "EMBEDDING_LOOKUP", "FLOOR", "FULLY_CONNECTED", "HASHTABLE_LOOKUP", "L2_NORMALIZATION",
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 21 18:21:50 UTC 2024 - 1M bytes - Viewed (0) -
RELEASE.md
* Fixes a `CHECK` fail in `tf.sparse.cross` ([CVE-2022-35997](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2022-35997)) * Fixes a floating point exception in `Conv2D` ([CVE-2022-35996](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2022-35996)) * Fixes a `CHECK` fail in `AudioSummaryV2` ([CVE-2022-35995](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2022-35995))
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 23:24:08 UTC 2024 - 730.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/legalize-tf.mlir
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jun 05 01:54:33 UTC 2024 - 153.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/tf_passes.td
%device_launch = "tf_device.cluster_func"(%input,...) {func = @_func,...) return ... } func @_func(%input: tensor<2x224x224x3xf32>, %filter: tensor<7x7x3x64xf32>) { %6 = "tf.Conv2D"(%input, %filter) {strides = [1, 2, 2, 1]}: (tensor<2x230x230x3xf32>, tensor<7x7x3x64xf32>) -> tensor<2x112x112x64xf32> } } ``` The program will be transformed into: ```mlir
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jun 12 21:18:05 UTC 2024 - 99.6K bytes - Viewed (0)